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118 lines
4.2 KiB
Python

"""
This interfaces the reader for a data-transport
"""
import cms
import transport
from io import BytesIO, StringIO
import pandas as pd
import numpy as np
import json
import base64
from flask import make_response, send_file
import copy
import json
import plugin_ix
import os
# @cms.Plugin(mimetype="application/json",method="POST")
# def read(**_args) :
# _request = _args['request']
# _body = _request.json
# _data = {}
# try:
# reader = transport.get.reader(label = _body['label'])
# _query = _body['query']
# #
# # @TODO :
# # - support for mongodb and NoSQL ...
# # - limit to 10K
# _data = reader.apply(_query)
# _data.to_dict(orient='split')
# del _data['index']
# except Exception as e:
# print (e)
# return _data
def format (file,_mimetype) :
if 'csv' in _mimetype :
_df = pd.read_csv(file).fillna('n/a')
rows = _df.apply(lambda row:row.values ,axis=1).apply(lambda row: {'cells':[{'value':x}for x in row]} ).tolist()
rows = [{"cells":[ {'value':_name} for _name in _df.columns]}] + rows
sheets = [{'usedRange':{'colIndex':1,'rowIndex':_df.shape[0]},'name':'sheet1','rows':rows,'standardHeight':20}]
return {'Workbook':{'sheets':sheets}}
@cms.Plugin(mimetype="application/json",method="POST")
def read(**_args):
"""
This function will in theory open a spreadsheet or csv file
"""
_request = _args['request']
file = _request.files['file']
spreadsheet = format(file,file.mimetype)
return spreadsheet #{"Workbook":{"sheets":[{"usedRange":{"colIndex":1,"rowIndex":3},"name":"Sheet1","rows":[{"cells":[{"value":"name"},{"value":"age"}]},{"cells":[{"value":"steve"},{"value":"44"}]},{"cells":[{"value":"elon"},{"value":"9"}]},{"cells":[{"value":"nico"},{"value":"33"}]}],"standardHeight":20}]}})
@cms.Plugin(mimetype="application/octet-stream",method="POST")
def write(**_args):
_request = _args['request']
_data = _request.json #json.loads(_request.form['JSONData'])
print (_data.keys())
# _data = json.loads(_request.form['JSONData'])
# _data = {"JSONData":_data}
_config = _args['config']
_path = os.sep.join([_config['layout']['location'],_config['layout']['root'],'_plugins'])
# if os.path.exists(_path) :
_filename = os.sep.join([_path,'ms-excel.py'])
_lx = plugin_ix.Loader(file=_filename)
_getExcelStream = _lx._modules.get('instance')
_stream = _getExcelStream(_data)
print (_stream.read())
_stream.seek(0)
return base64.b64encode(_stream.read()).decode('utf-8')
# response = make_response(_stream.getvalue())
# # Set headers for file download
# filename = _request.form['fileName']
# response.headers["Content-Disposition"] = f"attachment; filename={filename}"
# response.headers["Content-Type"] = "application/octet-stream" # Or a more specific MIME type like 'text/plain'
# return response
def _write(**_args) :
"""
This functon generates an excel file, by returning the encoded 64bit stream
"""
_request = _args['request']
_object = _request.json
_sheets = None
if _object :
_rows = _object['rows']
_label = _object['label']
#
# convert this to a spreadsheet
_excelFile = BytesIO()
with pd.ExcelWriter(_excelFile, engine='xlsxwriter') as writer:
_index = 1
for _name in _rows :
_sheet = _rows[_name]
try:
_df = pd.DataFrame(_sheet['values'],columns=_sheet['columns'])
_df.to_excel(writer,sheet_name=_name,index=False)
except Exception as e:
print (_name)
print (_sheet)
_index += 1
if 'chart' in _rows :
print (_rows['chart'])
# Write each DataFrame to a different sheet
_excelFile.seek(0)
_stream= _excelFile.read() #send_file(_excelFile,as_attachment=True,download_name=f'{_label}-export.xlsx', mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
return base64.b64encode(_stream).decode('utf-8')
@cms.Plugin(mimetype="text/plain")
def version (**_args) :
return transport.__edition__+ ' Edition '+transport.__version__